Fifty-years time series of Sun Spot Number, Western Mediterranean Oscillation Index, Italiangrain productions of Wheat and Maize, and those from a Long Term Agronomic Experimentheld in Bologna, have been compared to identify trends and fluctuations. Data, denoisedby EMD and SSA, are analysed by wavelet technique, showing how SSN oscillations affectregional scale dynamics, where in the last two decades a range of fluctuations (7–16 years)is also evident. Both signals also reflects on yield fluctuations of Wheat and Maize at bothnational and local level, as is evidenced by cross-wavelet analysis. Results are useful forproduction forecasts and risk analysis.
Vitali G., B.G. (2020). Climate Change in SSN, WeMO and Grain Production Fluctuations.
Climate Change in SSN, WeMO and Grain Production Fluctuations
Vitali G.Primo
Writing – Original Draft Preparation
;Baldoni G.Ultimo
Supervision
2020
Abstract
Fifty-years time series of Sun Spot Number, Western Mediterranean Oscillation Index, Italiangrain productions of Wheat and Maize, and those from a Long Term Agronomic Experimentheld in Bologna, have been compared to identify trends and fluctuations. Data, denoisedby EMD and SSA, are analysed by wavelet technique, showing how SSN oscillations affectregional scale dynamics, where in the last two decades a range of fluctuations (7–16 years)is also evident. Both signals also reflects on yield fluctuations of Wheat and Maize at bothnational and local level, as is evidenced by cross-wavelet analysis. Results are useful forproduction forecasts and risk analysis.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
